Google BigQuery is a cloud data warehouse from Google, run on Google Cloud · cloud.google.com ↗
The standing depends on who is buying. Every model is asked the same questions for each company size.
Ranked first. Next is Snowflake at 20%.
Snowflake is first at 62%. 2 of 14 models made it the first choice when asked directly.
Snowflake is first at 70%.
“For most small-to-mid-sized companies on a limited budget, Google BigQuery is arguably the best starting point”DeepSeek V4 Flash · Budget-constrained question · first choice
“the most common "safe bet" is Snowflake or Google BigQuery because they abstract away cluster management”MiniMax M2.5 · Comparative question · first choice
“Start with BigQuery if you are cost-conscious, have variable data volumes, or are already on Google Cloud.”Qwen 3.7 Flash · Direct question · first choice
“Go with Google BigQuery if you want the easiest setup and want to utilize a heavy free tier while testing.”Qwen 3.7 Flash · Budget-constrained question · first choice
“Tools like Snowflake, BigQuery, and Redshift are optimized for structured business intelligence (BI) and reporting.”Mistral Small · Negative question · warning
“Be Cautionary If: You are not already on Google Cloud Platform (GCP) or need flexible capacity management.”Qwen 3.7 Flash · Negative question · warning
“BigQuery is an excellent product, but you must implement strict quotas, cost controls, query limits”Gemini 3.5 Flash · Negative question · warning
“Snowflake and BigQuery take the closed platform approach... creating an inescapable 'walled garden.'”Muse Glimmer 30B · Negative question · warning
The products named in the same answers as Google BigQuery, over the 274 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 250 | 74 | Compare → | |
| 225 | 3 | View → | |
| 148 | 1 | View → | |
| 71 | 2 | View → | |
| 64 | 0 | View → | |
| 62 | 1 | Compare → | |
| 34 | 4 | View → | |
| 22 | 0 | View → | |
| 19 | 9 | View → | |
| 19 | 3 | View → |
What the models named instead of Google BigQuery →
A side-by-side page exists where both products are among a category's top eight.
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 224 of the 274 answers that named Google BigQuery and are not a share of its labels.
465 of the 510 domain citations in answers naming Google BigQuery came from a third party's page.
Pages are listed as the models cited them.
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 2 | 2 | 1 | 6 |
| GPT-5.4 mini | 1 | 3 | 2 | 0 | 6 |
| Gemini 3.5 Flash | 1 | 4 | 1 | 1 | 7 |
| Perplexity Sonar | 1 | 4 | 1 | 1 | 7 |
| Grok 4.20 | 1 | 4 | 2 | 1 | 8 |
| Mistral Small | 2 | 1 | 2 | 2 | 7 |
| DeepSeek V4 Flash | 2 | 4 | 1 | 1 | 8 |
| Llama 4 Maverick | 0 | 1 | 2 | 1 | 4 |
| Qwen 3.7 Flash | 3 | 2 | 0 | 1 | 6 |
| Kimi K2 | 1 | 4 | 1 | 0 | 6 |
| GLM 4.7 FlashX | 1 | 2 | 2 | 0 | 5 |
| MiniMax M2.5 | 2 | 4 | 0 | 0 | 6 |
| GPT-6 Luna | 1 | 3 | 1 | 1 | 6 |
| Muse Glimmer 30B | 2 | 1 | 2 | 1 | 6 |
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 37 | 14 | 2026-09-28 | API management | |
| Case study | 19 | undated | |||
| Conference or event | 4 | undated | |||
| Report or ebook | 2 | undated | |||
| Glossary or explainer | 2 | undated | |||
| Webinar or virtual event | 1 | undated | |||
| Template or tool | 1 | undated | |||
| News or press | 1 | undated |
Every page cloud.google.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.